Data Scientist
Location: BR, SP, São Paulo
Employment type: Full-time
Required experience: Associate
Industry: Financial Services

Company profile:
Nubank is an early stage, technology-driven financial services startup funded by Sequoia Capital and Kaszek Ventures. We are building a truly global and diverse team, with people who are in the top of their areas of expertise for every position we hire, to set the new standard in financial services in Brazil. We see a significant opportunity in the credit card market in Brazil as it is currently commoditized and extremely inefficient, and therefore our first product is a credit card controlled by a mobile app, that also provides our customers full control of their finances on their mobile phones. We are based in São Paulo, Brazil.

Job description:
Why do we hire data scientists? Nubank is a technology company that has set out to completely rethink financial services in Brazil. We need world-class data scientists (and modelers, statisticians, AI practitioners) to build proprietary algorithms that predict responsiveness to marketing, credit risk, fraud likelihood and many other types of customer behavior to get us there. What are some examples of problems a data scientist solves? Discover and evaluate the usefulness of new data sourcesCreate thousands of new predictive variables using your intuition, sociological insight and automation techniquesFind the most profitable people to market credit cards toUnderwrite and assign spending limits to credit card applicantsThwart identity theft and credit card transaction fraud 

Requirements:
You will fit well if You are ambitious and razor sharp with tremendous potentialYou have a rigorous quantitative bent to your workYou have a burning desire to use data and analysis to change the financial services worldYou like finding new, better solutions to “solved problems”You learn fast and easily adapt to changing situations and priorities You will experience an early stage startup culture in a truly diverse and international environment. We believe in good team chemistry, flat hierarchy, enthusiasm for creating things, and our surprising capacity to learn new things when we stay humble and open-minded. A quantitative academic background with advanced degrees and English language proficiency are helpful.  Desired skills and experienceWe are excited to meet rock star data scientists with various areas of experience – there is no single ideal profile. We believe there is room for very diverse skill sets  to add value 3+ years of relevant professional or academic experience in a highly quantitative field (e.g. statistics, computer science, mathematics, physics, genetics, econometrics, Biostatistics)Experience working with languages that support statistical learning (e.g. R, Python, Clojure, SAS)Strong expertise in at least one modeling technique (e.g. SVM, GBM, random forests, Bayesian networks, penalized regressions)An appreciation of skewed censorship in datasetsA basic understanding of ensemble learningA basic ability to work on distributed cloud platforms and interact with databases 

Benefits:
Competitive compensation packageHealth, dental and life insuranceMeal allowance (“vale refeição”)Flexibility to choose your own custom setup (computer, monitors, OS etc.)